3,052 research outputs found

    Models for the Magnitude-Distribution of Brightest Cluster Galaxies

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    The brightest, or first-ranked, galaxies (BCGs) in rich clusters show a very small dispersion in luminosity, making them excellent standard candles. This small dispersion has raised questions about the nature of BCGs. Are they simply the extremes of normal galaxies formed via a stochastic process, or do they belong to a special class of atypical objects? Arguments have been proposed on both sides of the debate. Bhavsar (1989) suggested that the distribution in magnitudes can only be explained by a two-population model. Thus, a new controversy has arisen. Do first-ranked galaxies consist of one or two populations of objects? We examine an older and newer data set and present our results. Two-population models do better than do one-population models. A simple model where a random boost in the magnitude of a fraction of bright normal galaxies forms a class of atypical galaxies best describes the observed distribution of BCG magnitudes. Moreover, the parameters that describe the model and the parameters of the boost have a strong physical basis.Comment: Abstract submitted to AAS. Paper (6 pages, 4 figs.) to be published in the MNRAS; uses mn.st

    A catalog of Nearby Poor Clusters of Galaxies

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    A catalog of 732 optically selected, nearby poor clusters of galaxies covering the entire sky north of −3∘\rm -3^{\circ} declination is presented. The poor clusters, called WBL clusters, were identified as concentrations of 3 or more galaxies with photographic magnitudes brighter than 15.7, possessing a galaxy surface overdensity of 104/310^{4/3}. These criteria are consistent with those used in the identification of the original Yerkes poor clusters, and this new catalog substantially increases the sample size of such objects. These poor clusters cover the entire range of galaxy associations up to and including Abell clusters, systematically including poor and rich galaxy systems spanning over three orders of magnitude in the cluster mass function. As a result, this new catalog contains a greater diversity of richness and structures than other group catalogs, such as the Hickson or Yerkes catalogs. The information on individual galaxies includes redshifts and cross-references to other galaxy catalogs. The entries for the clusters include redshift (where available) and cross-references to other group and cluster catalogs.Comment: 27 pages, 7 figures, + one 20-page landscape table, accepted for publication in A

    Understanding Job Stress among Healthcare Staff

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    Introduction: Job life is an important part of a person’s daily life. There are many aspects of a job. A person may be satisfied with one or more aspects of his/her job but at the same time may be unhappy with other things related to the job. Objective: To evaluate the sources of job stress (stressful aspects of work) among the staff of a super specialty hospital & to suggest measures to decrease level of job stress. Methodology: Descriptive study employing 381 staff members of a super specialty hospital using a structured personal interview questionnaire consisting of 21 sources of stress. The hospital staff was asked to rate each item according to the extent to which it had contributed to their stress as experienced in their jobs in the past few months on a scale of 0 (not at all),1(a little), 2(quite a bit), 3 (a lot). A global rating of stress was also obtained. Result: The prime sources of stress were found to be underpayment (76%), excessive workload (70.3%), inadequate staff (48.6), & being involved in the emotional distress of patients (46.7%). Conclusion: The staffs of the hospital were in moderate stress due to the prime stressors so adequate measures should be taken to alleviate these stressors. This could be achieved through workload management, job redesign, & by offering occupational health education

    Extreme Value Theory and the Solar Cycle

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    We investigate the statistical properties of the extreme events of the solar cycle as measured by the sunspot number. The recent advances in the methodology of the theory of extreme values is applied to the maximal extremes of the time series of sunspots. We focus on the extreme events that exceed a carefully chosen threshold and a generalized Pareto distribution is fitted to the tail of the empirical cumulative distribution. A maximum likelihood method is used to estimate the parameters of the generalized Pareto distribution and confidence levels are also given to the parameters. Due to the lack of an automatic procedure for selecting the threshold, we analyze the sensitivity of the fitted generalized Pareto distribution to the exact value of the threshold. According to the available data, that only spans the previous ~250 years, the cumulative distribution of the time series is bounded, yielding an upper limit of 324 for the sunspot number. We also estimate that the return value for each solar cycle is ~188, while the return value for a century increases to ~228. Finally, the results also indicate that the most probable return time for a large event like the maximum at solar cycle 19 happens once every ~700 years and that the probability of finding such a large event with a frequency smaller than ~50 years is very small. In spite of the essentially extrapolative character of these results, their statistical significance is very large.Comment: 6 pages, 4 figures, accepted for publication in A&

    An Investigation of How Wavelet Transform can Affect the Correlation Performance of Biomedical Signals : The Correlation of EEG and HRV Frequency Bands in the frontal lobe of the brain

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    © 2018 by SCITEPRESS – Science and Technology Publications, Lda. All rights reservedRecently, the correlation between biomedical signals, such as electroencephalograms (EEG) and electrocardiograms (ECG) time series signals, has been analysed using the Pearson Correlation method. Although Wavelet Transformations (WT) have been performed on time series data including EEG and ECG signals, so far the correlation between WT signals has not been analysed. This research shows the correlation between the EEG and HRV, with and without WT signals. Our results suggest electrical activity in the frontal lobe of the brain is best correlated with the HRV.We assume this is because the frontal lobe is related to higher mental functions of the cerebral cortex and responsible for muscle movements of the body. Our results indicate a positive correlation between Delta, Alpha and Beta frequencies of EEG at both low frequency (LF) and high frequency (HF) of HRV. This finding is independent of both participants and brain hemisphere.Final Published versio
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